Machine Learning Developer
Posted 9 days ago · 0 applicants
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The role in plain words
- B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or a related field
- Strong grasp of deep learning, model training, optimization, and evaluation
- Professional experience in Python
- Professional experience in NumPy
- Professional experience in PyTorch or similar frameworks
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceKela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact. Join our Algorithms Department to solve mission-critical, real-world challenges. You will sit at the forefront of national defense, developing cutting-edge algorithms and AI systems that turn raw sensor data into actionable intelligence. Responsibilities: • Research, develop, and optimize sophisticated algorithms, from classical computer vision methods to advanced deep learning models. • Build models and algorithmic pipelines for detection, classification, segmentation, and scene understanding in complex operational environments.
Requirements: • B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or a related field • A natural ability to deconstruct complex, non-standard algorithmic and mathematical challenges. • Strong grasp of deep learning, model training, optimization, and evaluation; experience in computer vision is a major advantage. • Professional experience in Python, NumPy, and PyTorch or similar frameworks. • Experience with machine learning, optimization, or probabilistic modeling is highly valued.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Hybrid
- B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or a related field, Strong grasp of deep learning, model training, optimization, and evaluation, Professional experience in Python, Professional experience in NumPy, Professional experience in PyTorch or similar frameworks